Liability regimes in the age of AI: a use-case driven analysis of the
burden of proof

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Liability regimes in the age of AI: a use-case driven analysis of the burden of proof

3 November 2022

David Fernández Llorca

Ignacio E. Sánchez

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Papers citing "Liability regimes in the age of AI: a use-case driven analysis of the burden of proof"

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Title
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 146 177 0 07 Mar 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 138 151 0 01 Jan 2021
Taking Principles Seriously: A Hybrid Approach to Value Alignment Tae Wan Kim J. N. Hooker T. Donaldson 37 32 0 21 Dec 2020
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 38 31 0 15 Jan 2019
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 117 3,968 0 24 Nov 2015